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As data volume and velocity continue to increase, the need for real-time machine learning (ML) is becoming more pressing. However, building real-time ML pipelines can be complex and time-consuming, requiring expertise in both ML and streaming application development. This talk will address this problem by introducing Quix Streams, an open-source Python library that makes it easy for data scientists and ML engineers to build real-time ML pipelines without having to learn the intricacies of building a streaming application from scratch.
Large Language Models like GPT4 have catapulted transformers into the limelight, but how do they really work? How can you really code them? This talk presents a new set of flow diagrams that more closely match the code in order to better understand transformers inside out!